| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910453428003321 |
|
|
Titolo |
Evaluation in context / / edited by Geoff Thompson, Laura Alba-Juez |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Amsterdam, Netherlands ; ; Philadelphia, Pennsylvania : , : John Benjamins Publishing, , 2014 |
|
©2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (430 p.) |
|
|
|
|
|
|
Collana |
|
Pragmatics & Beyond New Series ; ; Volume 242 |
|
|
|
|
|
|
Altri autori (Persone) |
|
ThompsonGeoff |
Alba-JuezLaura |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Linguistics |
Electronic books. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
Evaluation in Context; Editorial page; Title page; LCC data; Dedication page; Table of contents; Acknowledgements; Preface; Section 1. Introduction; 1. The many faces and phases of evaluation; 1. The interdisciplinary study of values and its evolution through time; 2. Evaluation as a multifarious, context-dependent phenomenon; 3. Our definition of evaluation; 4. About this book; Notes; References; Section 2. Theoretical considerations and approaches to evaluation; 2. The emergence of axiology as a key parameter in modern linguistics; 1. Introduction |
2. The axiological parameter in the structuralist tradition2.1 French-speaking structuralist linguists; 2.2 Structuralist linguists from other origins; 3. The axiological parameter in the transformational-generative tradition; 3.1 The axiological component and the meaning of good in the semantic theory of Jerrold J. Katz and; 3.2 The heterogeneous contributions of Edward S. Klima and Maria L. Grzegorek; 4. Conclusions; Acknowledgements; Notes; References; 3. Affect and emotion, target-value mismatches, and Russian dolls; 1. Introduction; 2. ATTITUDE in the appraisal model |
3. Issues in ATTITUDE3.1 Issue 1: the scope of affect; 3.2 Issue 2: Target/Value mismatches; 3.3 Issue 3: the 'Russian doll' syndrome; 4. |
|
|
|
|
|
|
|
|
|
|
|
Conclusion; Notes; References; 4. Appraising Appraisal; 1. Introduction; 2. Outline of APPRAISAL choices; 2.1 ATTITUDE; 2.2 GRADUATION; 3. Three challenges of APPRAISAL analysis; 4. Methodology for analysis - one view of its role in reader positioning; 5. One methodology; 6. Conclusions; Notes; References; 5. The evaluative palette of verbal irony; 1. Introduction; 2. Theoretical background; 2.1 Evaluation in Linguistics and Philosophy |
2.2 Irony and evaluation3. Discussion and analysis; 4. Empirical study; 4.1 The survey; 4.2 Results; 5. Conclusions; Notes; References; 6. The implementation of the axiological parameter in a verbal subontology for NLP; 1. Introduction; 2. The axiological axis in the verbal lexicon: theoretical remarks; 3. Axiological representation and distribution in FGKB core ontology; 3.1 Syntactic features of MPs: Operators; 3.2 Conceptual features of MPs: Predications and satellites; 3.3 Distribution of basic and terminal concepts among the metaconcepts |
3.4 Distribution of concepts from the core ontology in the axiologically-loaded dimensions4. Conclusions; Acknowledgement; Notes; References; 7. The evaluative function of situation-bound utterances in intercultural interaction; 1. Introduction; 2. Characteristics of Situation-Bound Utterances; 3. Do SBUs have evaluative functions?; 4. Role of context in processing SBUs in intercultural encounters; 4.1 Context and semantic analyzability; 4.2 Context-dependency; 4.3 Context and common ground; 5. Conclusion; References; 8. Prosody, information structure and evaluation; 1. Introduction |
2. Information structure |
|
|
|
|
|
|
Sommario/riassunto |
|
This chapter explores evaluative discourse on social networking sites (henceforth SNSs), paying special attention to the role played by the expression of attitude and positive politeness in the management of interpersonal rapport. The corpus for the study consists of a random sample of 100 messages exchanged among university students in the United Kingdom and the United States on a particular site, i.e., Facebook, during the two-year period 2010-2012. Analysis is approached from the theories of appraisal (Martin and White 2005; Bednarek 2008) and politeness (Brown and Levinson 1987); and the m |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9911006643403321 |
|
|
Titolo |
Soft computing and intelligent data analysis in oil exploration / / edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Amsterdam ; ; Boston, : Elsevier, 2003 |
|
|
|
|
|
|
|
ISBN |
|
1-281-03881-4 |
9786611038816 |
0-08-054132-1 |
|
|
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (755 p.) |
|
|
|
|
|
|
Collana |
|
Developments in petroleum science, , 0376-7361 ; ; 51 |
|
|
|
|
|
|
Altri autori (Persone) |
|
NikraveshMasoud <1959-> |
AminzadehFred |
ZadehLotfi Asker |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Petroleum - Prospecting - Data processing |
Hydrocarbon reservoirs - Computer simulation |
Soft computing |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and indexes. |
|
|
|
|
|
|
Nota di contenuto |
|
Front Cover; Development in Petroleum Science: Soft Computing and Intellegent Data Analysis in Oil Exploration; Copyright Page; Foreword; Preface; About the Editors; List of Contributors; Contents; Part 1: Introduction: Fundamentals of Soft Computing; CHAPTER 1. SOFT COMPUTING FOR INTELLIGENT RESERVOIR CHARACTERIZATION AND MODELING; Abstract; 1. Introduction; 2. The role of soft computing techniques for intelligent reservoir characterization and exploration; 3. Artificial neural network and geoscience applications of artificial neural networks for exploration; 4. Fuzzy logic |
5. Genetics algorithms6. Principal component analysis and wavelet; 7. Intelligent reservoir characterization; 8. Fractured reservoir characterization; 9. Future trends and conclusions; Appendix A. A basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; Appendix F. Fuzzy c-means clustering; Appendix G. Neural network clustering; References; CHAPTER 2. FUZZY LOGIC; Abstract; 1. |
|
|
|
|
|
|
|
|
|
|
|
Fuzzy sets; 2. Operations on fuzzy sets |
3. Arithmetic of fuzzy intervals4. Fuzzy relations; 5. Fuzzy systems; 6. Fuzzy propositions; 7. Approximate reasoning; 8. Suggestions for further study; References; CHAPTER 3. INTRODUCTION TO USING GENETIC ALGORITHMS; 1. Introduction; 2. Background to Genetic Algorithms; 3. Design of a Genetic Algorithm; 4. Conclusions; References; CHAPTER 4. HEURISTIC APPROACHES TO COMBINATORIAL OPTIMIZATION; 1. Introduction; 2. Decision variables; 3. Properties of the objective function; 4. Heuristic techniques; References; CHAPTER 5. INTRODUCTION TO GEOSTATISTICS; 1. Introduction; 2. Random variables |
3. Covariance and spatial variability4. Kriging; 5. Stochastic simulations; References; CHAPTER 6. GEOSTATISTICS: FROM PATTERN RECOGNITION TO PATTERN REPRODUCTION; 1. Introduction; 2. The decision of stationarity; 3. The multi-Gaussian approach to spatial estimation and simulation; 4. Spatial interpolation with kriging; 5. Beyond two-point models: multiple-point geostatistics; 6. Conclusions; 7. Glossary; References; Part 2: Geophysical Analysis and Interpretation; CHAPTER 7. MINING AND FUSION OF PETROLEUM DATA WITH FUZZY LOGIC AND NEURAL NETWORK AGENTS; Abstract; 1. Introduction |
2. Neural network and nonlinear mapping3. Neuro-fuzzy model for rule extraction; 4. Conclusion; Appendix A. Basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; References; CHAPTER 8. TIME LAPSE SEISMIC AS A COMPLEMENTARY TOOL FOR IN-FILL DRILLING; Abstract; 1. Introduction; 2. Feasibility study; 3. 3D seismic data sets; 4. 4D seismic analysis approach; 5. Seismic modeling of various flow scenarios; 6. 4D seismic for detecting fluid movement |
7. 4D seismic for detecting pore pressure changes |
|
|
|
|
|
|
Sommario/riassunto |
|
This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects. It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic, neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include prediction of reservoir properties (porosity, sand thic |
|
|
|
|
|
|
|
| |